7 documents found, page 1 of 1
Global burden of chronic respiratory diseases and risk factors, 1990-2019: an u...
Momtazmanesh, Sara; Moghaddam, Sahar Saeedi; Ghamari, Seyyed-Hadi; Rad, Elaheh Malakan; Rezaei, Negar; Shobeiri, Parnian; Aali, AmiraliBackground Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods Using...
Comparison of the healthcare system of Chile and Brazil: strengths, inefficienc...
Cerda, Arcadio A.; García, Leidy Y.; Rivera-Arroyo, Jennifer; Riquelme, Andrés; Teixeira, João Paulo; Jakovljevic, MihajloBackground: Governments in Latin America are constantly facing the problem of managing scarce resources to satisfy alternative needs, such as housing, education, food, and healthcare security. Those needs, combined with increasing crime levels, require financial resources to be solved. Objective: The objective of this review was to characterizar the health system and health expenditure of a large country (Brazi...
Editorial: health financing and spending in low- and middle-income countries
Jakovljevic, Mihajlo; Çalışkan, Zafer; Fernandes, Paula Odete; Mouselli, Sulaiman; Otim, Michael EkubuThe World Bank has introduced the Atlas method to determine in an econometrically valid way borderline thresholds for classifications of all national economies into low, middle, and high-income categories in an objective and predictable manner. Although this approach may be challenged to some extent, it has long served well in observation and predictions of long-term trends in GDP growth and national health exp...
Analysis and forecasting incidence, intensive care unit admissions, and project...
Carvalho, Kathleen; Vicente, João Paulo; Jakovljevic, Mihajlo; Teixeira, João PauloThe use of artificial neural networks (ANNs) is a great contribution to medical studies since the application of forecasting concepts allows for the analysis of future diseases propagation. In this context, this paper presents a study of the new coronavirus SARS-COV-2 with a focus on verifying the virus propagation associated with mitigation procedures and massive vaccination campaigns. There were two proposed ...
Universal health coverage: the long road ahead for low- and middle-income regions
Jakovljevic, Mihajlo; Ranabhat, Chhabi Lal; Izham, Mohamed; Ibrahim, Mohamed; Teixeira, João PauloUniversal health coverage (UHC) is one of the core Millennium Development Goals adopted in the United Nations and the World Health Organization’s (WHO) strategic agenda. Surprisingly, even as we approach the year 2021, achieving UHC to a reasonable extent and protecting the most vulnerable segments of native populations remains a challenge even for the richest of nations (1). In recent years, traditional world ...
Real GDP growth rates and healthcare spending – comparison between the G7 and t...
Jakovljevic, Mihajlo; Timofeyev, Yuriy; Ranabhat, Chhabi Lal; Fernandes, Paula Odete; Teixeira, João Paulo; Rancic, Nemanja; Reshetnikov, VladimirBackground: Accelerated globalisation has substantially contributed to the rise of emerging markets worldwide. The G7 and Emerging Markets Seven (EM7) behaved in significantly different macroeconomic ways before, during, and after the 2008 Global Crisis. Average real GDP growth rates remained substantially higher among the EM7, while unemployment rates changed their patterns after the crisis. Since 2017, howeve...
Underlying differences in health spending within the world health organisation ...
Jakovljevic, Mihajlo; Fernandes, Paula Odete; Teixeira, João Paulo; Rancic, Nemanja; Timofeyev, Yuriy; Reshetnikov, VladimirThis study examined the differences in health spending within the World Health Organization (WHO) Europe region by comparing the EU15, the EU post-2004, CIS, EU Candidate and CARINFONET countries. The WHO European Region (53 countries) has been divided into the following sub-groups: EU15, EU post-2004, CIS, EU Candidate countries and CARINFONET countries. The study period, based on the availability of WHO Globa...